External Email - Use Caution Hi Doug,
funcVol is an individual functional resting state scan. We are doing some clustering analyses and trying to visually compare the clustering across subjects (I would be a bit sketched out trying to quantify the overlap between subjects due to individual differences in anatomy, etc, but just looking at it might give us a clue on what is going on). We do all our analyses in the individual subject's native space, but it's hard to see what the similarities / differences are. If not bbregister, what would be the correct way to align all subjects to a common space? Thanks, DB ________________________________ Douglas N. Greve wrote: What is funcVol? An individual functional? If so, then use --12 (12 dof to account for scaling). In general, we don't recommend doing cross subject registration with BBR as it is really not appropriate for that kind of thing. ________________________________ On 05/03/2018 01:30 PM, David Beeler wrote: Hi, I'm trying to register and transform some raw functional data (108x108x72x175, 2mm iso voxels) to MNI space, while keeping the low res dimensions. I have tried: bbregister --s MNI152_FS --mov funcVol --reg func2mni.lta --init-fsl --bold mri_vol2vol --mov funcVol --reg func2mni.lta --o funcVolMNI --fstarg --no-resample --nearest mri_vol2vol --mov funcVol --reg func2mni.lta --o funcVolMNI --fstarg --no-resample And this looks pretty good, but not perfect... the functional data is oriented correctly but the brain seems to be a centimeter or two smaller in multiple dimensions, see: http://web.mit.edu/dsbeeler/www/images/bbregister-mni.png I'm not too surprised since the MNI brain is blurry and oddly round, but presumably there is a way to do this transformation more accurately. I've run mri_cvs_register for this subject using the --mni flag: mri_cvs_register --openmp 8 --mni --mov $subjID --outdir $mniDir And for other applications I use this m3z file to transform volumes between MNI orig.mgz and individual subject orig.mgz, but is there a way to use it to transform functional data to MNI space while keeping the functional dimensions? I could do: mri_vol2vol --mov funcVol --targ $SUBJECTS_DIR/$subjID/mri/orig.mgz --reg register.dof6.lta --nearest --o template-in-anat.nii.gz mri_vol2vol --noDefM3zPath --targ $SUBJECTS_DIR/$subjID/mri/orig.mgz --mov template-in-anat.nii.gz --m3z $mniDir/final_CVSmorph_tocvs_avg35_inMNI152.m3z --o template-in-MNI-m3z.nii.gz --nearest But not only is this unideal because it requires upsampling the functional data to 256x256x256, it also gets these funky wavy distortions: http://web.mit.edu/dsbeeler/www/images/m3z-mni.png Any thoughts are appreciated, thanks! -DB
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